Jun Zhu's Homepage - Tsinghua University
Dec 10, 2019 · Bosch AI Professor, Computer Science Department, Tsinghua University. Co-Director, TSAIL Group. My research focuses on developing statistical machine learning methods to understand complex scientific and engineering data. My current interests are in probabilistic machine learning, adversarial robustness, large-margin learning, Bayesian ...
Jun Zhu's Homepage - Tsinghua University
Dec 10, 2019 · Shike Mei, Jun Zhu, and Jerry Zhu. Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models , In Proc. of International Conference on Machine Learning, Beijing, China, 2014 (ICML 2014)
Jun Zhu's Homepage - ml.cs.tsinghua.edu.cn
Dec 10, 2019 · Dr. Jun Zhu is a Bosch AI professor in the Department of Computer Science and Technology at Tsinghua University. He is an IEEE/AAAI Fellow. He was an adjunct faculty at Carnegie Mellon University from 2015 to 2018.
Jun Zhu's Homepage - Tsinghua University
Professional Activities. IEEE Fellow (from 2023) Chief Scientist of Machine Learning, Beijing Academy of Artificial Intelligence (BAAI) (from 2021) Director of Tsinghua-Bosch Joint Center for Machine Learning, Tsinghua University (from 2020)
Jun Zhu's Homepage - Tsinghua University
Dec 10, 2019 · Shilong Liu, PhD student (from fall, 2020) Biqi Chenli, PhD student (from fall, 2020, co-advised with Prof. Ting Chen, from fall, 2020) Chengyang Ying, PhD student (from fall, 2021) Xinning Zhou, PhD student (from fall, 2021) Zhengyi Wang, PhD student (from fall, 2021) Zhongkai Hao, PhD student (from fall, 2021)
Jun Zhu's Homepage - Tsinghua University
Dec 10, 2019 · I am leading the TSAIL group. We are interested in developing machine learning theories, algorithms, and applications to problems in science, engineering and computing.
Jun Zhu's Homepage - ml.cs.tsinghua.edu.cn
Dec 10, 2019 · Contact Information. Office: Room 4-513, FIT Building. Phone: 6277-2322. Email: dcszj@mail [dot]tsinghua [dot]edu [dot]cn. Address: Department of Computer Science and Technology.
Jun Zhu's Homepage - Tsinghua University
Slides. Lecture 1: Introduction & Logistics. Lecture 2: Clustering. Lecture 3: Dimension reduction. Lecture 4: Support Vector Machines. Lecture 5: Naive Bayes and Logistic Regression. Lecture 6: Learning Theory. Lecture 7: Probabilistic Graphical Models (I): Representation.
Kun Xu's Homepage - Tsinghua University
Kun Xu is currently a Ph.D. candidate at TSAIL Group in Department of Computer Science and Technology at Tsinghua University, advised by Prof. Jun Zhu and Prof. Bo Zhang.
Jun Zhu's Homepage - Tsinghua University
Courses. Spring, 2016. I instruct the graduate course " Statistical Machine Learning" (in Chinese) Spring, 2015. I instruct the graduate course " Statistical Machine Learning" (in Chinese) Spring, 2015. I co-instruct the graduate course "Machine Learning" with Prof. Jie …